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| Criterion |  Knowledge Modeling Teach-back |  Decision Making Decision Tree |  Product Strategy DIBB |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | Teach-back checks whether an explanation actually got through to the other person. The method makes misunderstandings visible early and strengthens shared understanding in advisory and learning situations. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 5-20 min | 30-90 min | 1-2 h | 1-4 Wochen |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Understanding Check, Clarification Notes, Learning Gaps | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | LearningUnderstandingCommunication | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis | ForecastingExpertsDecisionStrategy |